Senior Data Scientist (d/f/m)

data science,machine learning,pathology,python,linux,bioinformatics,deep learning,computer vision

We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. We also believe that AI is a tool, not an identity – without access to high quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. That’s where we come in.

Aignostics is a spin-off from one of Europe's largest and most prestigious university hospitals (Charité), with employees in Berlin and New York. We have received over $20M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. We work with academic partners as well as leading global life sciences companies.

As a Senior Data Scientist (d/f/m) at Aignostics, you work hand in hand with our collaborators in academia and industry to push the state of the art of machine learning for digital pathology. You translate biomedical challenges into concrete machine learning research roadmaps and coordinate their execution. Together with your colleagues you develop elegant solutions to complex problems, conduct rigorous experiments and finally convince your stakeholders with crystal clear presentations. 

At Aignostics, we believe that fighting cancer is a job for people of all identities, backgrounds, and cultures. We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees. Applicants will be considered regardless of their age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe the more inclusive we are, the better our work will be.

• Plan and execute interdisciplinary projects connecting machine learning, software engineering and biomedical domain knowledge
• Research, pilot and evaluate novel computer vision approaches for extracting insight from high-resolution biological images
• Transform proof-of-concept machine learning models into automated, tested and production-ready systems
• Support and mentor junior colleagues  
• Clearly communicate your results in internal and external presentations 

• Ph.D. or MSc. in a relevant field, e.g. Computer Science, Machine Learning or Bioinformatics
• Eagerness to lead initiatives, learn new technologies and excel in a complex space
• Solid theoretical foundations and 4+ years of experience developing novel machine learning techniques
• Advanced skills in Python, Linux, cloud computing and machine learning software stacks
• Experience with development of deep learning models for computer vision
• Leadership experience in a research context
• Passion for clean code and high standards for quality assurance
• Ability to independently define, organize and complete research projects 
• Excellent communication and team working skills
  
  Bonus points for
• Exposure to biomedical data 
• Experience in considering Information Security criteria under ISO 27001

We are still keen to hear from you if you don't match all the above points!  Our needs are diverse and growing and you are encouraged to apply if you have any combination of these skills. The recruitment process is a comparative exercise and decisions will be made based on the applications we review at each time.

• Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference!
• Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
• Work with a welcoming, diverse and highly international team of colleagues 
• Opportunity to take responsibility and grow your role within the startup
• Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs
• Mentoring program, you’ll learn from great experts
• Flexible working hours and teleworking policy
• Enjoy your well-deserved time off within our 28 paid vacations days per year
• We are family & pet friendly and support flexible parental leave options
• Pick a subsidized membership of your choice among public transport sports and well-being
• Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment

Join us to make a difference!